Case · Tires and roadside service · Amman
Abu Al-Ragheb Tires: built from scratch, rated 90.
abualraghebtires.com, a bilingual website built from scratch by Exceed Solutions for a tire, wheel and battery specialist founded in 1963, now rated 90 out of 100 (excellent) for how well AI assistants can read it.
The brief
Where the site started.
Abu Al-Ragheb Tires has served Amman since 1963 from five branches, with a 24/7 roadside service called Faz3a and fleet supply. We started from zero: a 2026 brand system, the Faz3a roadside sub-brand, crew uniforms, van livery and event and sponsorship materials — then a bilingual, WhatsApp-first website built from scratch in October 2026, with a tire finder, a page for every branch, service and guide pages, and a safe release process. Built the way AI assistants read, it is now rated 90 out of 100.
What shipped
What we built.
- A bilingual website built from scratch: home, tire finder, five branch pages, services, guides, fleet and FAQ — Arabic and English
- Brand system, Faz3a roadside sub-brand, uniforms, van livery and event materials
- Every AI search and assistant crawler allowed by name
- A map for AI assistants (llms.txt and llms-full.txt) covering every branch, service and guide
- AI discovery files: /.well-known/ai.txt, /ai/summary.json, /ai/faq.json (19 answers), /ai/service.json including Faz3a and fleet supply
- An RSS feed for the twelve tire guides and a visible last-updated date
- FAQPage schema built from the questions already visible on the home page
- Shipped through the site's release pipeline, with every automated check passing
Nothing visible changed apart from one small line in the footer: the last-updated date and an About link.
The score
How well AI assistants can read the site.
Built from scratch → 90 / 100
| Area | Score | Max |
|---|---|---|
| AI-crawler access | 14 | / 14 |
| llms.txt (the map AI reads first) | 6 | / 6 |
| Structured data | 12 | / 14 |
| Freshness and feed signals | 6 | / 6 |
| AI discovery files | 2 | / 3 |
| Brand and entity | 8 | / 12 |
| Google AI readiness | 20 | / 20 |
GEO Optimizer 4.x, live site, 6 November 2026. Selected areas shown; the overall score includes all nine areas.
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